1. 背景: torch.compile()中,Dynamo作为前端负责计算图的捕获,后端有inductor、tvm等进行编译优化。 Dynamo:在Python字节码层面注入pass,实现bytecode-to-bytecode的优化,通过对bytecode逐行进行解析构建FX Graph Inductor:负责对FX Graph进行AOTAutograd生成joint-graph、decompose成PrimTorch基础op、基于硬件生成对应的ker...
我写出了一个初步的Python字节码反编译器，使得更多的人能够轻松看懂Python字节码。
在Python中,importlib模块负责实现Python的导入机制,而<frozen importlib._bootstrap_external>是importlib内部的一个冻结模块,它包含了执行导入操作所需的一些底层函数。其中,_compile_bytecode函数是负责将.pyc文件(Python编译后的字节码文件)编译成可在Python虚拟机上执行的字节码对象的函数。 错误信息分析 当你...
This module provides some utility functions to support installing Python libraries. These functions compile Python source files in a directory tree. This module can be used to create the cached byte-code files at library installation time, which makes them available for use even by users who don...
requires-python = ">=3.13" dependencies = [ "numpy", "dash", "plotly", "seaborn" ] I've been testing using this bash script: rm -r .venv rm uv.lock time uv sync --no-cache time uv run --no-sync app.py time uv run --no-sync app.py ...
Coconut compiles to Python (not CPython bytecode, so it supports other Python implementations: PyPy, Jython, etc) Coconut code runs on any major Python version, 2 or 3 all valid Python 3 is valid Coconut: you can write standard Python3 in Coconut. ...
讲座标题(中文): 理解、学习与使用PyTorch编译器(torch.compile)讲座标题(英文):Understand, Learn, and Adopt the PyTorch compiler (torch.compile)讲座摘要:Machine learning compiler is an important tool to leverage new features in eme, 视频播放量 10024
首选项错误码:code:"401” err: Error: Parameter error. The type of 'value' must be ValueType. 如何排查问题 如何查看或导出持久化数据? 如何获知数据存储沙箱路径? 插入数据之后,RDB数据库的wal文件体积异常 用户首选项是线程安全的吗 为什么在关系型数据库中调用deleteRdbStore函数后并未真实删除数据...
"""Byte-compile one Python source file to Python bytecode. :param file: The source file name. :param cfile: The target byte compiled file name. When not given, this defaults to the PEP 3147/PEP 488 location. :param dfile: Purported file name, i.e. the file name that shows up in...
The compiler operates at the Python bytecode level, making it appear as an opaque box. In this talk, we will demystify the PyTorch compiler step by step, and introduce the usage of an open-source tool ( https://github.com/thuml/depyf ) to help the understanding. We will also discuss...